VBA: a probabilistic treatment of nonlinear models for neurobiological and behavioural data
This work is in line with an on-going effort tending toward a computational (quantitative and refutable) understanding of human neuro-cognitive processes. Many sophisticated models for behavioural and neurobiological data have flourished during the past decade. Most of these models are partly unspec...
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| Veröffentlicht in: | PLoS computational biology 2014-01, Vol.10 (1), p.e1003441 |
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| creator | Daunizeau, Jean Adam, Vincent Rigoux, Lionel |
| description | This work is in line with an on-going effort tending toward a computational (quantitative and refutable) understanding of human neuro-cognitive processes. Many sophisticated models for behavioural and neurobiological data have flourished during the past decade. Most of these models are partly unspecified (i.e. they have unknown parameters) and nonlinear. This makes them difficult to peer with a formal statistical data analysis framework. In turn, this compromises the reproducibility of model-based empirical studies. This work exposes a software toolbox that provides generic, efficient and robust probabilistic solutions to the three problems of model-based analysis of empirical data: (i) data simulation, (ii) parameter estimation/model selection, and (iii) experimental design optimization. |
| doi_str_mv | 10.1371/journal.pcbi.1003441 |
| format | Article |
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This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Daunizeau J, Adam V, Rigoux L (2014) VBA: A Probabilistic Treatment of Nonlinear Models for Neurobiological and Behavioural Data. 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| subjects | Algorithms Bayes Theorem Biology Cognition Computational Biology Computer Simulation Data analysis Decision Making Design optimization Humans Mathematics Medical imaging Models, Biological Models, Neurological Nerve Net Neural circuitry Neural networks Neurological research Neurosciences Normal Distribution Probability Social and Behavioral Sciences Software Stochastic Processes Time series |
| title | VBA: a probabilistic treatment of nonlinear models for neurobiological and behavioural data |
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